/* Residual energy: nrg = wxx - 2 * wXx * c + c' * wXX * c */
silk_float silk_residual_energy_covar_FLP( /* O Weighted residual energy */ const silk_float *c, /* I Filter coefficients */
silk_float *wXX, /* I/O Weighted correlation matrix, reg. out */ const silk_float *wXx, /* I Weighted correlation vector */ const silk_float wxx, /* I Weighted correlation value */ const opus_int D /* I Dimension */
)
{
opus_int i, j, k;
silk_float tmp, nrg = 0.0f, regularization;
/* Safety checks */
celt_assert( D >= 0 );
regularization = REGULARIZATION_FACTOR * ( wXX[ 0 ] + wXX[ D * D - 1 ] ); for( k = 0; k < MAX_ITERATIONS_RESIDUAL_NRG; k++ ) {
nrg = wxx;
tmp = 0.0f; for( i = 0; i < D; i++ ) {
tmp += wXx[ i ] * c[ i ];
}
nrg -= 2.0f * tmp;
/* compute c' * wXX * c, assuming wXX is symmetric */ for( i = 0; i < D; i++ ) {
tmp = 0.0f; for( j = i + 1; j < D; j++ ) {
tmp += matrix_c_ptr( wXX, i, j, D ) * c[ j ];
}
nrg += c[ i ] * ( 2.0f * tmp + matrix_c_ptr( wXX, i, i, D ) * c[ i ] );
} if( nrg > 0 ) { break;
} else { /* Add white noise */ for( i = 0; i < D; i++ ) {
matrix_c_ptr( wXX, i, i, D ) += regularization;
} /* Increase noise for next run */
regularization *= 2.0f;
}
} if( k == MAX_ITERATIONS_RESIDUAL_NRG ) {
silk_assert( nrg == 0 );
nrg = 1.0f;
}
return nrg;
}
/* Calculates residual energies of input subframes where all subframes have LPC_order */ /* of preceding samples */ void silk_residual_energy_FLP(
silk_float nrgs[ MAX_NB_SUBFR ], /* O Residual energy per subframe */ const silk_float x[], /* I Input signal */
silk_float a[ 2 ][ MAX_LPC_ORDER ], /* I AR coefs for each frame half */ const silk_float gains[], /* I Quantization gains */ const opus_int subfr_length, /* I Subframe length */ const opus_int nb_subfr, /* I number of subframes */ const opus_int LPC_order /* I LPC order */
)
{
opus_int shift;
silk_float *LPC_res_ptr, LPC_res[ ( MAX_FRAME_LENGTH + MAX_NB_SUBFR * MAX_LPC_ORDER ) / 2 ];
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